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Building Interdisciplinary Capacity for Understanding and Supporting Computer Supported Collaborative Learning

建立理解和支持计算机支持的协作学习的跨学科能力

基本信息

批准号：
1547731
负责人：
Cindy Hmelo-Silver
金额：
$ 11.01万
依托单位：
Indiana University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-01 至 2018-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1547731&HistoricalAwards=false
关键词：
Building Interdisciplinary Capacity Understanding Supporting

项目摘要

Building Interdisciplinary Capacity for Understanding and Supporting Computer Supported Collaborative LearningData science techniques have revolutionized many academic fields and led to terrific gains in the commercial sector. They have to date been underutilized in solving critical problems in the US educational system, particularly in understanding Science, Technology, Engineering and Mathematics (STEM) learning and learning environments, broadening participation in STEM, and increasing retention for students traditionally underserved in STEM. The goals of the Directorate for Education and Human Resources through the Critical Techniques and Technologies for Advancing Foundations and Applications of Big Data Science & Engineering (BIGDATA) program are to advance fundamental understanding of key questions in the field, and catalyze the use of data science in Education Research. Collaboration has a long history of research and a solid research base. However, the work is hampered by the difficulty of replicating or aggregating results due to the standard research methods used in the field. The current standard practice in collaboration research is to record student activity on audio or video, create qualitative coding schemes, and code the data by hand. This is labor intensive and prone to personal judgment and error. This project will investigate the use of data mining and learning analytics to overcome this challenge of aggregation and accuracy.The main goal of the proposal is to conduct a series of workshops to catalyze the community of researchers investigating the effects of collaboration by introducing and investigating the best uses of learning analytics and data mining techniques.

建立理解和支持计算机支持的协作学习的跨学科能力数据科学技术已经彻底改变了许多学术领域，并在商业领域取得了巨大的成就。迄今为止，它们在解决美国教育系统中的关键问题方面没有得到充分利用，特别是在理解科学，技术，工程和数学（STEM）学习和学习环境，扩大STEM的参与，以及提高传统上STEM服务不足的学生的保留率方面。教育和人力资源局通过推进大数据科学工程基础和应用的关键技术和技术（BIGDATA）计划的目标是促进对该领域关键问题的基本理解，并促进数据科学在教育研究中的应用。合作有着悠久的研究历史和坚实的研究基础。然而，由于该领域使用的标准研究方法，难以复制或汇总结果，阻碍了这项工作。目前合作研究的标准做法是用音频或视频记录学生的活动，创建定性编码方案，并手工编码数据。这是劳动密集型的，容易出现个人判断和错误。该项目将研究如何使用数据挖掘和学习分析来克服聚合和准确性方面的挑战。该项目的主要目标是举办一系列研讨会，通过介绍和研究学习分析和数据挖掘技术的最佳用途，促进研究人员研究协作的效果。